Senior Software Development Engineer

At GoDaddy the future of work looks different for each team. Some teams work in the office full-time; others have a hybrid arrangement (they work remotely some days and in the office some days) and some work entirely remotely.​

This is a remote position, so you’ll be working remotely from your home. You may occasionally visit a GoDaddy office to meet with your team for events or meetings.  

Join a team where you can help shape the future of our enterprise data platform through automation, modernization, and AI-enabled solutions. You will have the opportunity to build reliable platform services, improve self-service experiences for data producers and consumers, and develop AI-assisted and agentic automation that reduces manual work and improves developer productivity. This is an ideal opportunity for a hands-on engineer with strong Amazon Web Services and Python skills who enjoys solving complex platform challenges at scale.

• →Build and evolve artificial intelligence-assisted and agentic automation tooling, including migration support, impact assessment, and workflows that reduce manual effort for platform and data teams
• →Improve data producer and consumer experiences through self-service onboarding, platform workflows, automation, and scalable adoption patterns
• →Contribute to platform modernization efforts, including Apache Iceberg adoption, reliability improvements, and operational automation
• →Own platform reliability, operational support, and incident response during United States hours across Data Lake and related data platform services
• →Drive proactive root-cause analysis, after-action reviews, and implementation of durable fixes that improve long-term platform stability
• →Partner with engineering teams across United States and India time zones to maintain continuity, unblock users, and improve platform outcomes

• 7+ years of software engineering or data platform engineering experience, including experience building scalable data platforms, platform tooling, or developer-facing systems
• 5+ years of professional experience with Python, including experience building application programming interfaces, automation, platform tooling, and operational workflows, with the ability to troubleshoot distributed data systems
• Production experience building artificial intelligence-assisted or agentic automation workflows for analytics, migration support, impact assessment, or platform enablement
• Modular architectures and reusable platform patterns, including frameworks, plugins, marketplaces, or other approaches that support automation at scale
• Large-scale data platforms, including self-service workflows, developer-facing tooling, and real-time and batch data patterns
• Amazon Web Services technologies, including Amazon S3, AWS Lambda, AWS Glue, AWS Lake Formation, Amazon Redshift, Amazon API Gateway, and orchestration platforms such as Apache Airflow

• Experience with data governance, access management, lakehouse architectures, or Apache Iceberg
• Experience designing AI-enabled data platform capabilities that improve data discovery, analytics workflows, or engineering productivity

We encourage you to apply even if your experience or skillset doesn’t align perfectly with every requirement. We value a wide range of backgrounds and transferable skills, and we are excited to support learning and growth.